From: carkaci@yahoo.com   
      
   In the literature, most of the works   
   use the following acceptance function for SA:   
      
   IF ( The modifiedsolution is better than the currentsolution )   
   OR   
   ( random[0..1] < exp(-deltachanges/T)   
   THEN currentsolution=modifiedsolution   
      
   Note: deltachanges=cost(currentsolution)-cost(modifiedsolution)   
      
   However, a few works propose the following acceptance creteria:   
      
   IF ( random[0..1] < 1.0/(1.0+exp(deltachanges/T)) )   
   THEN currentsolution=modifiedsolution   
   What is the difference between them? Which one is preferable?   
      
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